Principles of Microarray Design, Normalization, and Application
X401 (1 semester unit in Molecular and Cell Biology)
A requirement in the Professional Program in Microarray TechnologyThis course focuses on the theory portion of the certification sequence and serves as an introduction to microarray technology. Lecture topics cover the complete range of cDNA and oligo microarray technology and experimentation. The course provides a comprehensive description of experimental designs specific to microarray experiments and techniques involved in image processing. The course also addresses the applications of microarrays in the pharmaceutical industry and Food and Drug Administration. Students can acquire an in-depth knowledge of microarray experiment setup, image analysis, and data normalization.
Click below for sections, start dates, locations, instructors,
and to enroll.
Sun. Aug. 3, San Francisco
SUPARNA MUNDODI, Ph.D., in molecular biology and M.S. in computer information systems, is a bioinformatics scientist at the Carnegie Institution of Washington at Stanford University, where she focuses on genome curation and microarray data analysis. She has taught courses on microarray principles and data analysis at UC Santa Cruz Extension. She has also been actively involved with bioinformatics consulting for the past several years.
- 4 meetings
- Aug. 3-24: Sun., 9 am-12:45 pm
- San Francisco: Room 808, UC Berkeley Extension Downtown Center, 425 Market St., 8th Floor (enter on Fremont St.)
- $595 (EDP 404244)
Enroll
Textbook(s) for this course:
Statistical Analysis of Gene Expression Microarray Data
Author: Terry Speed
Publisher: Chapman & Hall/CRC
Publication Year: 2003
ISBN: 1584883278
AND
Statistical Methods in Bioinformatics:An Introduction(statistics for biology & health)
Author: Warren J. Ewens and Gregory Grant
Publisher: Springer
ISBN: 038740082
Courses begin every month. A new edition of our catalog is published
three times a year in early April, July and December.